Pittsburgh Health Data Alliance, Carnegie Mellon University, University of Pittsburgh, UPMC, Center for Machine Learning and Health Carnegie Mellon University

Center for Machine Learning and Health at Carnegie Mellon University

The Center for Machine Learning and Health (CMLH) at Carnegie Mellon University is one of two centers launched under the umbrella of the Pittsburgh Health Data Alliance, formed in 2015 to unite Carnegie Mellon's unrivaled applied-computing capabilities, the University of Pittsburgh's world-class health-sciences research, and UPMC's clinical care and commercialization expertise. The CMLH supports great science and engineering that can lead to innovative health solutions and new businesses.

CMLH One-Page Overview

Fall 2019 Call for Proposals

The Center for Machine Learning and Health is pleased to announce its Fall 2019 Call for Proposals!
This is an internal call for Carnegie Mellon faculty-led projects. (Additional co-PIs or collaborators from Pitt and/or UPMC are welcome as research team members.)
 
The CMLH funding provides for one-year of applied research projects anticipated to have budgets in the low six figures (including university overhead). After one year, projects may attract more funding to refine the technology and/or their development for commercialization. We are looking for compelling science that creates value for stakeholders, including patients and caregivers, providers, payers, and healthcare institutions.


Attend an Innovation Session!

The CMLH hosts Innovation Sessions each year with our partners at UPMC. These Innovation Sessions seek to level-set and then unpack a challenge. Discussion and exchange revealing deeper context, underlying processes, availability and characteristics of data stimulate solutions to resolve key elements of the challenge. The goal of the sessions is to enhance discovery and lead to powerful, high-impact proposals for applied research in digital health care.

There are two Innovation Sessions planned for fall 2019.


Fellowships in Digital Health

We invite applications for the Center for Machine Learning and Health (CMLH) Fellowships in Digital Health. Each fellowship provides one year of full support for a Carnegie Mellon graduate student pursuing cutting-edge research that advances digital health, broadly defined. For more information, visit our 2020 fellowship application page.
 

Since 2017, 30 graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health. Learn about previous recipients on our 2017, 2018 and 2019 fellows pages.


Innovation and Support Services

The CMLH provides services that support PIs through the entire research process: support in the CfP development, post-funding project support and more. See our Services page for more details.


Project Funding

From bench to bedside, the CMLH funds projects that strive to bridge the gap between research and practice. All funded work at CMLH will have a clear line of sight to commercial application. Although many CMLH projects will involve data analytics and machine learning, our approach is technology agnostic. We welcome proposals that involve human-computer interaction, language technologies, information systems, computer graphics, computer vision, artificial intelligence, robotics, electrical engineering, economics, psychology, sociology, public policy, business administration, law, design, and any other disciplines that apply to healthcare.

Funding is available at two levels — awards for early-stage research projects and multiyear awards for follow-on projects that have demonstrated clear commercial potential.

In addition to offering funding, CMLH provides support for funded projects in the form of datasets, access to patients and doctors for empirical validation of new concepts, and entrepreneurial mentorship.


News and Information

Visit our News and Information page for relevant articles and upcoming events

Contact the CMLH at cmlh@cs.cmu.edu or 412-268-6288.